Trefferliste "General Neural Networks" - alle Bücher

Ihre Suche nach "General Neural Networks" (Bücher) ergab 12 Treffer.

George A. Anastassiou
Parametrized, Deformed and General Neural Networks

In this book, we introduce the parametrized, deformed and general activation function of neural networks. The parametrized activation function kills much less neurons than the original one. The asymmetry …

lieferbar innerhalb 2-3 Wochen

Buch

Hobson Lane, Maria Dyshel
Natural Language Processing in Action

Develop your NLP skills from scratch! This revised bestseller now includes coverage of the latest Python packages, Transformers, the HuggingFace packages, and chatbot frameworks.Natural Language Processin…

lieferbar innerhalb 1-2 Wochen

Buch

M Umit Uyar
Machine Learning and AI with Simple Python and MATLAB Scripts

A practical guide to AI applications for Simple Python and Matlab scriptsMachine Learning and AI with Simple Python and Matlab Scripts: Courseware for Non-computing Majors introduces basic concepts and pr…

lieferbar innerhalb 1-2 Wochen

Buch

Ayo Adedeji, Lavi Nigam, Sarita Joshi, Stephanie Gervasi
Genai on Google Cloud

In today's AI landscape, success depends not just on using large language models but on moving them into production in a way that's scalable, compliant, and cost-effective. GenAI on Google Cloud: Enterpri…

lieferbar ab 3.2.2026.

Buch

Francois Chollet, Matthew Watson
Deep Learning with Python, Third Edition

The bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX!Deep Learning with Python, Third Edition puts the power of deep learning in your hands. This new edition…

lieferbar ab 30.9.2025.

Buch

Luca Antiga, Eli Stevens, Howard Huang, Thomas Viehmann
Deep Learning with Pytorch, Second Edition

Everything you need to create neural networks with PyTorch, including Large Language and diffusion models.Deep Learning with PyTorch, Second Edition updates the bestselling original guide with new insight…

lieferbar ab 25.11.2025.

Buch

Grigory Sapunov
Deep Learning with Jax

From the back cover:Deep Learning with JAX teaches you how to use JAX and its ecosystem to build neural networks. You'll learn by exploring interesting examples including an image classification tool, an …

lieferbar innerhalb 1-2 Wochen

Buch

Sebastian Raschka
Build a Large Language Model (from Scratch)

From the back cover:Build a Large Language Model (From Scratch) is a practical and eminently-satisfying hands-on journey into the foundations of generative AI. Without relying on any existing LLM librarie…

lieferbar innerhalb 1-2 Wochen

Buch

Roland Huss, Daniele Zonca
Generative AI on Kubernetes

Generative AI is revolutionizing industries, and Kubernetes has fast become the backbone for deploying and managing these resource-intensive workloads. This book serves as a practical, hands-on guide for …

Erscheint bald

Buch

Kishore Bingi, Venkata Ramana Kasi, Ramadevi Bhukya
Fractional-Order Activation Functions for Neural Networks

This book suggests the development of single and multi-layer fractional-order neural networks that incorporate fractional-order activation functions derived using fractional-order derivatives. Activation …

lieferbar innerhalb 2-3 Wochen

Buch

Rubén Ballester, Carles Casacuberta, Sergio Escalera
Topological Data Analysis for Neural Networks

SpringerBriefs in Computer Science

This book offers a comprehensive presentation of methods from topological data analysis applied to the study of neural network structure and dynamics. Using topology-based tools such as persistent homolog…

lieferbar ab 17.11.2025.

Buch

Cosmin Radu Popa
Analog Current-Mode Computational Circuits for Artificial Neural Networks

Analog Circuits and Signal Processing

This book discusses in detail low-voltage low-power designs for minimizing the hardware resources required by neural network implementations. The novel method presented in this book for an accurate realiz…

lieferbar ab 11.12.2025.

Buch

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